Top datasets with the most feature models

Sample dataset 1

Data Management Plan

September 16, 2025 at 03:36 PM

  •   Author 1 Affiliation 1 ORCID

Description for dataset 1

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Sample dataset 2

Data Management Plan

September 16, 2025 at 03:36 PM

  •   Author 2 Affiliation 2 ORCID

Description for dataset 2

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Sample dataset 3

Data Management Plan

September 16, 2025 at 03:36 PM

  •   Author 3 Affiliation 3 ORCID

Description for dataset 3

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Sample dataset 4

Data Management Plan

September 16, 2025 at 03:36 PM

  •   Author 4 Affiliation 4 ORCID

Description for dataset 4

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June 24, 2026 at 10:56 PM

  •   David Romero Organvídez ORCID

This dataset contains the feature models used for the Third Tutorial on the Universal Variability Language (UVL) given at SPLC 2025 in A Coruña, Spain. The model captures the complete variability of a real-world Pizzeria product line, including its menu items, ingredient options, and pricing logic.

It serves as a comprehensive example, showcasing the full expressivity of the UVL, including the Boolean, Arithmetic, and Typed levels.

The included models are the complete feature model and a version structured using imports.

A related seminar on the UVL modeling approach (in Spanish) is available here: https://www.youtube.com/watch?v/fZjtmhmYoec .

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What is uvlhub.io?

uvlhub.io is a repository of feature models in UVL format integrated with Zenodo and flamapy, developed by DiversoLab.

Can I contribute?

Sure! You can fork our official GitHub repository, create fantastic features, and then send us a pull request.

Go to GitHub

Cite us!

David Romero-Organvidez, José A. Galindo, Chico Sundermann, Jose-Miguel Horcas, David Benavides. UVLHub: A feature model data repository using UVL and Open Science principles, Journal of Systems and Software, 2024, 112150, ISSN 0164-1212, https://doi.org/10.1016/j.jss.2024.112150

David Benavides, Chico Sundermann, Kevin Feichtinger, José A. Galindo, Rick Rabiser and Thomas Thüm, Uvl: Feature Modelling with the Universal Variability Language., Journal of Systems and Software, Volume 225, 2025, 112326, ISSN 0164-121 https://doi.org/10.1016/j.jss.2024.112326